To properly analyze the advantages and disadvantages of voting rules, and how well the outcomes that they yield reflect voters' preferences, one needs very large data sets, since paradoxes that occur very rarely may have large impacts. Since such amounts of election data are currently unavailable, it is important to be able to use random procedures to generate data that have the same statistical characteristics as real election data. It is the purpose of this work to identify a statistical characterization of voting data, to empower researchers to use random procedures to generate data that is statistically indistinguishable from real voting data. / Ph. D.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/73579 |
| Date | 06 December 2016 |
| Creators | Matje, Thorsten |
| Contributors | Economics, Science, Tideman, Nicolaus, Plassman, Florenz, Ball, Sheryl B., Bahel, Eric A., Tsang, Kwok Ping |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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